MATLAB: Fit file image not correct

fit file not working

I'm trying to read in multiple .fit files into MATLAB but the image in matlab shows an extremely over exposed picture. The picture shows what imagesc shows the imshow image is just white. When I subtract 200 before imshow it shows the actual picture but very high contrast.

a = fitsread('M82-001L.fit');
imshow(a)
imagesc(a)

Best Answer

Hi,

Maybe in your case this syntax will resolve the problem: >>DATA =fitsread(FILENAME, NAME, VALUE)

Good luck

Related Solutions

MATLAB: Matlab curve fitting tool automation for selection of fit with minimum sse.

You could certainly write your own function by using the gof output of the "fit" function.

Here is an example that shows you how to use the "fit" to see the Goodness of Fit of different methods. You could store the "gof" values in an array and find the max GoF.

function bestFitName = Gof_Finder( x, y )
    Fits = {'poly1', 'poly2', 'poly3', 'exp1'};
      for i=1:numel(Fits)
          [~,GoFs(i)] = fit( x, y,  Fits{i} );
      end
      [~, minIdx] = min([GoFs.sse]);
      bestFitName = Fits{minIdx};
  end

The above function will return the name of the best fit of the data x and y.

MATLAB: How to correct plotting

When you use image() or imagesc() or imshow(), MATLAB assumes you want "axis image", one side effect of which is to set the axis YDir to 'reverse'. It does this so that the "top" (lower row numbers) of the image show up at the top of the screen, because that is how people typically construct image arrays. Normally MATLAB follows Cartesian plotting conventions, where the low values are at the bottom of the screen with Y increasing upwards.

If you want your Y to increase from the bottom then you need to

set(gca, 'YDir', 'normal')

after you display your image. If this plots your image upside down from what you want, then you will need to ask to display flipud() of the image matrix,

   imshow(flipud(YourArray))

Best Answer

Related Solutions

MATLAB: Matlab curve fitting tool automation for selection of fit with minimum sse.

MATLAB: How to correct plotting

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